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Generic schema descriptions for comma-separated values files of environmental data

 
: Mäs, Stephan; Henzen, Daniel; Bernard, Lars; Müller, Matthias; Jirka, Simon; Senner, Ivo

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Volltext (PDF; )

Association of Geographic Information Laboratories in Europe -AGILE-:
21th AGILE International Conference on Geographic Information Science 2018. Proceedings. Online resource : Geospatial Technologies for All, Lund, Sweden, 12-15 June 2018
Lund, 2018
https://agile-online.org/conference/proceedings/proceedings-2018
5 S.
International Conference on Geographic Information Science (AGILE) <21, 2018, Lund>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
Guiding Theme: Visual Computing as a Service; Research Area: Modeling (MOD); geographic information systems (GIS); environmental data; metadata; data integration

Abstract
Comma-Separated Values (CSV) files are commonly used to publish data about environmental phenomena and environmental sensor measurements. Due to its simplicity, this format has many advantages. However, at the same time there is no official standard for CSV and no possibility to specify schematic constraints or other metadata. As a result, CSV files come in many variations and often with no metadata that would support interpretation or further processing, analysis and visualization. In this paper, we propose a framework for the specification of schema descriptions for CSV files as they are used in the environmental sciences. It allows to constrain the structure and content of a CSV file and also to specify relations between files, for example when they are published in one data package. The framework is extensible, also to other spatial data formats such as GeoTiff. The schema descriptions are encoded in JSON or XML to be published in the Web as a supplement to the data. It comes as a lightweight solution that provides metadata required to publish OGC compliant services from CSV files. It helps to overcome the heterogeneities of different data providers when exchanging environmental measurement data on the Web.

: http://publica.fraunhofer.de/dokumente/N-515250.html